- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02457767
Optimizing of Waiting - Time in the Anesthesia Admissions Ambulance of the Charité - University Medicine Berlin by Support of a Mobile Application - a Pilot Study
July 30, 2015 updated by: Claudia Spies, Charite University, Berlin, Germany
Optimization of Waiting - Time in the Anesthesia Admissions Ambulance Department of Anaesthesia and Intensive Care Medicine CVK/CCM, Charité - University Medicine Berlin by Support of a Mobile Application - a Pilot Study
In this study the investigators measure and optimize the patients waiting time in the preanesthetic assessment by integrating an interactive mobile device.
The aim of this study is to observe whether the patients mean waiting-time is reduced by the use of a special mobile application (Anaest-App) and, as a result , raises patient-satisfaction.
Study Overview
Status
Withdrawn
Detailed Description
3000 patients as well as medical doctors receive tablet-devices.
The Software (App) installed on these devices coordinates the virtual waiting numbers assigned to each patient-tablet.
The medical doctor can virtually call up the next patient in line for preanesthesiologic assessment.
After the examination both medical doctors and patients complete a brief questionaire regarding educational level, usability and overall satisfaction
Study Type
Observational
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
5 years and older (Child, Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Probability Sample
Study Population
Male and female patients (aged > 4 years) for elective surgery
Description
Inclusion Criteria:
- Male and female patients of all ages
- Elective surgical procedure
Exclusion Criteria:
- Language inabilities (German)
- Severe hearing - loss and visual impairment
- In-Patient care > 24 h
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Waiting time in the anesthesia admissions ambulance
Time Frame: Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 hour
|
The waiting time will be measured in hours and minutes
|
Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 hour
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Study patient satisfaction
Time Frame: Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 hour
|
The question "How satisfied is the Patient?" is measured during stay in the anesthesia admissions ambulance.This scale ranges from -3 to +3, contains no "0"(forced-choice).
|
Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 hour
|
|
Medical doctor statisfaction
Time Frame: Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 day
|
The question "How satisfied is the medical doctor?" is measured during stay in the anesthesia admissions ambulance.This scale ranges from -3 to +3, contains no "0"(forced-choice).
|
Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 day
|
|
Tablet - acceptance by study patients
Time Frame: Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 hour
|
The acceptance is measured by a scale ranges from -3 to +3, contains no "0"(forced-choice).
|
Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 hour
|
|
Tablet - acceptance by medical doctor
Time Frame: Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 day.
|
The acceptance is measured by a scale ranges from -3 to +3, contains no "0"(forced-choice).
|
Participants will be followed for the duration of ambulation ambulance stay, an expected average of 1 day.
|
|
Duration of examination time
Time Frame: Participants will be followed for the duration of examinationin the ambulance, an expected average of 1 hour.
|
The duration of examination time will be measured in hours and minutes.
|
Participants will be followed for the duration of examinationin the ambulance, an expected average of 1 hour.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Study Director: Claudia Spies, MD, Prof., Department of Anesthesiology and Intensive Care Medicine Berlin, Charité - Univeristy Medicine Berlin
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start
June 1, 2015
Primary Completion (Anticipated)
September 1, 2015
Study Completion (Anticipated)
October 1, 2015
Study Registration Dates
First Submitted
March 20, 2015
First Submitted That Met QC Criteria
May 28, 2015
First Posted (Estimate)
May 29, 2015
Study Record Updates
Last Update Posted (Estimate)
July 31, 2015
Last Update Submitted That Met QC Criteria
July 30, 2015
Last Verified
July 1, 2015
More Information
Terms related to this study
Other Study ID Numbers
- Anaest-App
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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